code: def forward(info):
      for e in info.executors.values():
          for v, d in zip(e.dataset_assign.keys(), inputs):
              v.variable_instance.d = d
  
      for v, generator in e.generator_assign.items():
          v.variable_instance.d = generator(v.variable_instance.d.shape)
  
      e.forward_target.forward(clear_buffer=True)
  
      for o in e.output_assign.keys():
          yield o.variable_instance.d
  
file_path: nnabla/python/test/utils/conversion/test_nnp_optimizer.py
imports: import os
  import pytest
  import numpy
  import nnabla
  import nnabla.utils.cli.optimize_model
  from .nntxt import N0007, N0008
  from .common import generate_case_from_nntxt_str
  from nnabla.utils import load
label_desc: Use image node_id 1 for calling a global function with example usage: forward(info) without return types